AI Agents Need Inspectable State. That’s Why I Built LangMCP

Checkpoints, memory, and the debugging gap that traces don’t fill. Inspecting an agent’s inner workings. AI Generated via Gemini The first time an AI agent forgets something important, the instinct is to blame the prompt. You look at the system message. You reread the tool descriptions. You ask whether the model ignored an instruction, or whether the user said something ambiguous three turns ago. Sometimes that is the problem.